# Miscellaneous routines (scipy.misc)ΒΆ

Various utilities that don’t have another home.

Note that the Python Imaging Library (PIL) is not a dependency of SciPy and therefore the pilutil module is not available on systems that don’t have PIL installed.

 ascent() Get an 8-bit grayscale bit-depth, 512 x 512 derived image for easy use in demos bytescale central_diff_weights(Np[, ndiv]) Return weights for an Np-point central derivative. comb(N, k[, exact, repetition]) The number of combinations of N things taken k at a time. derivative(func, x0[, dx, n, args, order]) Find the n-th derivative of a function at a point. face([gray]) Get a 1024 x 768, color image of a raccoon face. factorial(n[, exact]) The factorial function, n! = special.gamma(n+1). factorial2(n[, exact]) Double factorial. factorialk(n, k[, exact]) Multifactorial of n of order k, n(!!...!). fromimage imfilter imread imresize imrotate imsave imshow info([object, maxwidth, output, toplevel]) Get help information for a function, class, or module. lena() Function that previously returned an example image logsumexp(a[, axis, b, keepdims, return_sign]) Compute the log of the sum of exponentials of input elements. pade(an, m) Return Pade approximation to a polynomial as the ratio of two polynomials. toimage source(object[, output]) Print or write to a file the source code for a Numpy object. who([vardict]) Print the Numpy arrays in the given dictionary.

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